AI and Ethics (CS60016)

Spring Semester 2021

Sponsored by the Google Tensorflow Award

Instructor: Animesh Mukherjee (animeshm[AT]cse[DOT]iitkgp[DOT]ac[DOT]in)

Teaching Assistant: Abhisek Dash, Punyajoy Saha, Souvic Chakraborty; Contact: aiethicsta@googlegroups.com


Class Timings: WED (12:00-12:55), THURS (10:00-10:55), FRI (09:00-09:55)
Location: Online
Office of the Instructor: Room 121, CSE

Books (I will not follow any textbook in this course! But you can use some of the books below as references)
  1. The Ethical Algorithm: The Science of Socially Aware Algorithm Design by Aaron Roth and Michael Kearns
  2. Rebooting AI: Building Artificial Intelligence We Can Trust by Ernest Davis and Gary Marcus
  3. Human Compatible: AI and the Problem of Control by Stuart J. Russell
  4. Towards a Code of Ethics for Artificial Intelligence by Paula Boddington
  5. Moral machines by Wendell Wallach
  6. AI Ethics by Mark Coeckelbergh (this book will come out by the time we have ended our semester!)

Course Rules
  1. There will be no formal attendance taken. However if I find that the class strength is dropping drastically, I shall revert to taking regular attendance.
  2. From time to time we shall have games, quizzes and exciting guest lectures.

Marks Division
  1. Continuous assessment: 60%
  2. Term project: 40%
Course Outline (to be updated)
  1. Introduction
  2. Bias and Fairness in ML
    1. Motivation: The ProPublica case study
    2. Motivation: The Gender Shades case study
    3. Basic Definitions
    4. Fairness of classification algorithms: Disparate Mistreatment
    5. Fair Embeddings
  3. Content Governance
    1. Discrimination through optimization
    2. Hatespeech analysis, Counterspeech analysis, Spread of hatespeech
    3. Fake news detection, mis/disinformation online
    -
  4. Media Bias
  5. Explainability and Interpretability
  6. Moral Machines
  7. Guest Lectures
    1. Abhijnan Chakraborty, CSE, IIT Delhi. Title: Two-Sided Fairness for Personalized Recommendations in Two-Sided Platforms.
    2. Nithya Sambasivan, PAIR, Google. Title: HCI for Responsible AI in the Global South.
    3. Scott Hale, Oxford University and Meedan. Title: Countering Misinformation with Human and Machine Intelligence.
    4. Vinodkumar Prabhakaran, Google. Title: NLP and Society: Towards Socially Responsible NLP.